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Location: München, Germany Workplace: Hybrid At Knuspr, Finance is not a back-office function. It’s a core driver of how we make decisions, run smarter operations, and scale sustainably. As a Finance Business Partner, you will act as a critical co-pilot to our Operations (Fulfilment Centres) and Commercial leadership. This is a hands-on, high-exposure role where you will be embedded directly in the day-to-day business—turning financial data and operational metrics into actionable decisions that directly influence our profitability and growth. WHY THIS ROLE IS EXCITING - Direct business impact: Your insights, business cases, and analysis will directly shape operational efficiency, commercial initiatives, and unit economics. - True business partnering: You won't just report numbers after month-end; you’ll work side-by-side with Operations and Commercial Directors to challenge how things are done and drive change. - Speed and autonomy: We move fast and avoid rigid corporate red tape—good ideas and viable solutions get tested and implemented quickly without layers of approval. - Cross-functional visibility: You will act as the key bridge connecting finance, logistics, commercial strategy, and leadership across the business. - Dynamic scale: You will solve real operational and systemic challenges in a fast-paced, high-volume e-commerce environment.   WHAT YOU WILL OWN AND DELIVER - Partner with leadership: Serve as the trusted finance partner for Operations and Commercial Directors, challenging existing setups and advising on strategic and operational decisions. - Drive performance analysis: Deliver ad-hoc deep dives, scenario modelling, and business cases to evaluate new projects, operational investments, and commercial opportunities. - Identify efficiencies: Spot operational bottlenecks, cost drivers, and financial risks across our fulfilment network and commercial operations, proposing concrete solutions to fix them. - Financial planning & reviews: Collaborate closely on budgeting, rolling forecasts, monthly financial performance reviews, and audit support. - Process & system improvements: Actively participate in developing internal financial tools, automating reporting, and establishing scalable internal controls that support rapid growth.   WHAT WE ARE LOOKING FOR - Proven finance background: Solid experience as a Senior Controller, Financial Analyst, or Finance Business Partner, ideally in a fast-paced, operational, or retail/e-commerce environment. - Commercial mindset: Strong grasp of business economics and core accounting principles, with the ability to translate complex financial data into practical operational insights. - Stakeholder management: Demonstrated ability to communicate effectively, build trust, and constructively challenge non-finance stakeholders and directors. - Hands-on analytical skills: Advanced Excel proficiency (complex formulas, PivotTables, data manipulation) and comfortable working directly with large datasets. - Ownership and initiative: A proactive, solutions-oriented approach with the confidence to dive deep into details and take accountability for outcomes. - Languages: Working proficiency in English (communicative level for business reporting and collaboration).   WHAT WE OFFER - Unlimited Vacation: Unlimited vacation days for a balanced work-life balance - Tax-Free Benefits: Monthly vouchers of €45 tax-free (via become.1) - Remote Allowance: €20 monthly allowance towards internet costs - Exclusive Shopping Perk: Knuspr Xtra account with 10% cashback in the form of Knuspr Credits - Corporate Discounts: Great discounts via CorporateBenefits (fitness, travel, tickets, shopping, and much more) - Culture & community – A collaborative, informal team that pulls together, alongside legendary company events and an open-feedback environment.     #LI-FK1

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You'll be the senior data science leader for Model Experience and a strategic thought partner to product, engineering, and research leaders. Working where frontier AI research reaches the public, you'll help shape model roadmap and launch decisions, bringing a point of view on how users experience our models and what good looks like beyond benchmark scores. As a tech lead manager, you'll also hire and manage a team of data scientists, setting their agenda, personally leading the highest-stakes analyses, and raising the bar for how data shapes model and product decisions. Responsibilities: Act as a strategic thought partner to product, engineering, and research leaders, helping shape model roadmap priorities, launch decisions, and the major bets the team makes Set the data science agenda for Model Experience, deciding where the team can have the most impact on model development and launch decisions and what it should deprioritize Hire, manage, and develop a team of data scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions about model quality and user experience, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Model Experience measures success, establishing the core metrics and measurement frameworks across external products and internal testing that align teams and leadership on what matters Set the standard for experimentation and causal inference across Model Experience, including where launches lack a clean A/B test, and personally lead the highest-stakes analyses Turn complex analyses of model and user behavior into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners Establish foundational data practices and shape the analytics infrastructure Model Experience needs to support rapid iteration and decision-making as our models and products evolve You may be a good fit if you: Have extensive experience in data science, including leading analytics for a product or research area at significant scale Have 3+ years managing data science teams, including setting team direction, hiring, and developing senior data scientists Have been a trusted partner to senior product, research, and business leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others' technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company's mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Experience as a tech lead manager or player-coach, balancing hands-on technical work with people management Experience building or scaling a data science team in a fast-growing organization Experience working closely with Product or Research teams, especially on LLM or AI products Comfort working with unstructured data The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $460,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. As a Strategic Account Executive for our Mumbai territory, you'll drive GitLab's growth across large Banking, Financial Services and Insurance (BFSI) institutions, alongside leading enterprises and conglomerates headquartered in the city. It will be a blended territory of Enterprise and Conglomerates slightly more BFSI heavy. You'll help these organisations adopt, implement, and expand their use of our AI-powered DevSecOps platform, guiding them through modernisation and DevSecOps transformations while building a pipeline that translates into measurable Net ARR and long-term expansion. You'll bring an understanding of the software development lifecycle, including continuous integration and continuous delivery (CI/CD) automation, secure development practices, and infrastructure modernisation. You'll apply it to the realities of regulated industries, where security, compliance, auditability, and data residency shape every technology decision. You'll connect customer stakeholders with GitLab's field organisation so GitLab is seen as a trusted, long-term partner across the full sales cycle. In your first year, you'll be expected to build a strong BFSI and Enterprise portfolio across your territory, create repeatable sales motions aligned to how regulated financial institutions and large enterprises buy and adopt platforms, and consistently forecast and report on deal progress and account health. What you'll do Lead and grow GitLab's largest and most strategic BFSI, Enterprise, and Conglomerate prospects and customers in Mumbai, focusing on organisations that run mission-critical software delivery at scale Drive the full enterprise sales cycle, from prospecting and pipeline generation through qualification, evaluation, negotiation, and close, including the longer procurement, vendor risk, and security review processes typical of regulated financial institutions Provide hands-on account leadership throughout the pre- and post-sales process to ensure a smooth customer experience and strong adoption of GitLab's AI-powered DevSecOps platform Position GitLab against regulatory and compliance priorities (for example RBI, IRDAI, and SEBI guidelines on IT governance, outsourcing, cyber resilience, and data localisation), working with Solutions Architects and Security specialists on deployment options such as self-managed and GitLab Dedicated Partner closely with Sales Development Representatives, Solutions Architects, Customer Success, system integrators, and strategic channel partners to generate qualified opportunities, co-sell, and execute account strategies that drive new business and expansion Develop and maintain detailed account plans for priority customers, including opportunity mapping, stakeholder alignment, and multi-threaded engagement across engineering, security, risk and compliance, platform, infrastructure, procurement, and business leaders Tailor your approach to each segment: a compliance- and risk-led value story for BFSI, and a modernisation-, productivity-, and consolidation-led story for enterprises and conglomerates with multiple business units Coordinate and facilitate the involvement of cross-functional GitLab team members, including sales leadership, marketing, product, legal, and support, to progress opportunities and deliver an excellent customer experience Prepare activity and forecast reports, contribute to forecasting and pipeline reviews, and share root cause analysis and lessons learned from wins and losses with account managers, marketing, and technical teams Act as the voice of the customer by contributing product ideas to our public issue tracker, and by preparing and delivering customer-facing and internal presentations, quotes, proposals, and formal sales documents that address BFSI and enterprise business challenges and clearly communicate long-term value and outcomes. What you'll bring Deep experience driving complex B2B software sales cycles with large enterprise customers, ideally in DevSecOps, software development tools, or adjacent SaaS and infrastructure solutions that support the software development lifecycle A track record selling into BFSI institutions in India, with an understanding of their buying behaviour, long evaluation cycles, vendor risk assessments, and procurement processes (experience across both BFSI and large enterprises or conglomerates is a strong plus) Ability to prospect, build pipeline, and close new business while expanding strategic relationships within large accounts across Mumbai Strong understanding of modern software delivery, including CI/CD, secure development practices (DevSecOps, supply chain security), and cloud and infrastructure modernisation, with the ability to connect platform capabilities to customer outcomes Working familiarity with the regulatory and compliance landscape for Indian financial institutions, including data residency, audit, and security expectations, and comfort discussing on-premises, private cloud, and hybrid deployment models Proven ability to navigate and influence complex organisations, building trusted relationships with senior stakeholders such as CIOs, CTOs, CISOs, heads of engineering, and technology risk and compliance leaders Experience creating and executing account plans for priority accounts, including opportunity mapping, multi-threaded engagement, and disciplined deal and account management Experience working with system integrators and channel partners to co-sell and deliver in the Indian market Effective communication and interpersonal skills, including comfort leading customer presentations, negotiations, and executive-level conversations, and coordinating internal resources to move opportunities forward Capacity to work autonomously and asynchronously in a fully remote environment while staying aligned to shared goals, processes, and forecasting expectations across the broader GitLab team, with the flexibility to meet customers in person across Mumbai Familiarity with forecasting, pipeline hygiene, and reporting, including sharing learnings from wins and losses to improve repeatable sales motions Some examples of our projects Building and growing a territory plan for Mumbai that balances large BFSI institutions (banks, NBFCs, insurers, asset managers, payments and fintech) with high-potential enterprises and conglomerates, from new logo prospecting through long-term expansion on GitLab's AI-powered DevSecOps platform Leading complex, multi-stakeholder sales cycles and partnering with Solutions Architects, Sales Development, Customer Success, system integrators, and channel partners to position GitLab as a trusted platform for modern software delivery, security, and compliance in regulated and large-scale environments Helping BFSI customers consolidate fragmented toolchains and modernise legacy delivery pipelines while meeting regulatory, audit, and data-residency expectations About the team The Strategic Account Executive will join our enterprise sales team, which focuses on driving GitLab adoption with large customers in the India market. The team is responsible for the full relationship lifecycle with enterprise accounts, from initial engagement through long-term expansion and advocacy, ensuring customers realize value from GitLab’s DevSecOps platform. Team members work in an all-remote, distributed environment and collaborate asynchronously across time zones with sales leadership, solutions architects, customer success, marketing, and channel partners. The team is currently focused on maintaining and growing our existing footprint in the region, executing a consistent global sales motion while adapting to local customer needs and partnering closely with strategic channel organizations to reach and support key accounts. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

This is a dynamic, high energy role in which you will bring the Internet of Things to mid-sized customers, building Samsara's business and bringing the benefits of sensor data to customers. Typical sales will be $20k to $100k, and involve POCs, multiple stakeholders, managing trials, multi-faceted pricing negotiations, and selling to executives and CXOs.

Location: San Francisco, CA or Remote, US Our vision is to build the next generation platform to enable easy and fast creation of audio and video content powered by cutting-edge AI. Building a revolutionary way to record, transcribe, edit, and mix spoken audio and video comes with a series of unique challenges and requires solving hard and complex problems. As a lead product data scientist on the team, you will play a critical role in shaping our growth strategy, up-leveling our experimentation culture, and scaling our business. What You’ll Do Conduct in-depth analysis to shape product PLG motion and B2B strategy. Develop deep understanding of the product ecosystem and identify opportunities to drive activation, engagement, and monetization through actionable insights. Leveraging AI tools to build and maintain self-service analytics enabling stakeholders to access reliable metrics, size opportunities, design experiments, and interpret results independently. Improve execution rigor of product teams by owning success metrics and opportunity sizing. Brain buddy with product and engineering teams for day-to-day experiment design, deployment, and analysis. Provide creative solutions for tricky experimentation scenarios. Evolve experimentation culture and practices within the company. What You Bring 5–8 years of experience in a Data Scientist or similar role. 3+ years working in a growth function. Strong business and product intuition to identify opportunities in the growth ecosystem. Strong knowledge of statistical analysis and A/B tests. Strong SQL skills and proficient in at least one programming language such as Python or R. Excellent communication and collaboration skills. Curiosity, savviness to navigate in a dynamic environment, and a growth mindset. Having worked at a fast-growing start-up is a plus. The base salary range for this role is $200,000 - $250,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above. About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors ( OpenAI , Andreessen Horowitz , Redpoint Ventures , Spark Capital ). Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person. Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.

Location: Bangalore; Jaipur; Hyderabad Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? Your Mission: UiPath is building a new way to design and deliver enterprise processes. UiPath cartographer draws on a curated library of industry process knowledge, interviews the business, and produces process maps and design documents. AI coding agents then turn those designs into working, orchestrated solutions, in days rather than months. In insurance, "almost right" isn't good enough. The best AI companies in regulated industries have learned the same lesson: quality comes from making a senior practitioner part of the team to building the benchmarks, evaluations and feedback loops around their experience and judgment. That's this role. As our Principal Expert for insurance, you will own the quality of everything our AI produces for US insurers. You'll set the bar, build the tests that hold the AI to it, and work in the field with customers and partners to make sure what we ship works in a real carrier. This role does not carry a sales quota and is not a product management role. Success is measured by the quality of the insurance solutions we deliver and how confidently customers build on them. Why this role is exciting: - Your work sets the standard. What you define as good will be used by insurance customers, partners and AI agents across the platform. - You see the impact. Take a process from discovery to a working solution in days, then keep improving it. - You're building something new. Help decide which lines of business we go after next and how we measure the success of AI-designed processes. What you'll do at UiPath: Own insurance AI quality - Own the quality of insurance process knowledge, designs and solutions across Property & Casualty and Life & Annuity. - Decide what needs fixing first, review changes before they go to customers, and sign off when a process is ready. - Work with industry experts, partners and reviewers to maintain and improve quality. Build the insurance benchmark - Build a library of real insurance use cases covering claims, FNOL and triage, total loss, endorsements, life claims, medical records, disability claims and new business NIGO. - Define test cases, scoring criteria and expected answers to evaluate every new AI model and product release before it reaches customers. Turn expert judgment into evaluations - Evaluate AI outputs at every stage, from process knowledge and process maps to design documents and working solutions. - Work with applied scientists and engineers to make sure automated AI evaluations match expert judgment, so we can scale quality checks without relying on manual reviews for everything. Find failures and make sure they get fixed - Review actual outputs, identify common failure types across regulation, coverage, workflows, data and terminology, and prioritise them based on customer impact. - Turn recurring failures into reusable test cases and make sure fixes work before they go live. - Share clear updates on quality, key issues and progress with leadership, product teams and customers. How you'll work: You'll work in a small, senior team of automation consultants, engineers and applied scientists, working directly with customers. - Work with insurance carriers, MGAs and consulting partners to understand how their claims and underwriting teams operate, and test our designs against real processes. - Join consultants and engineers on customer deployments and use what you learn to improve our benchmarks and evaluations. - Run a regular review cycle, roughly every two weeks, to assess outputs, prioritise fixes and track improvements. - Join customer and partner meetings. What you'll bring to the team: - Extensive experience (typically 12+ years) in US insurance, ideally starting hands-on in claims and moving into claims operations senior or mid level roles. - Deep P&C or Life & Annuity knowledge across the lifecycle - Working knowledge of US claims regulation: unfair claims settlement practices, state acknowledgment and payment deadlines, total-loss and salvage rules, and market conduct exams. - Experience mapping or redesigning claims or policy servicing operations: queues, handoffs, SLAs, exceptions, fraud referral and QA. - The confidence to review complex documents quickly, spot what's plausible but wrong, and explain exactly why. Nice to have: - Life & Annuity or disability expertise: contestability, beneficiary determination, unclaimed property, suitability, and underwriting evidence such as medical records. - Experience evaluating AI or automation output: writing test cases, rubrics or reference answers, or running QA or validation programs. - Experience with insurance AI, claims automation or document intake programs. - Comfort with data and light technical work, such as spreadsheets, data analysis or prompting AI tools. - Experience leading or calibrating a team of reviewers, auditors or claims QA specialists. - Commercial lines, workers' compensation, employee benefits or broker/MGA experience. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Подольск Workplace: В офисе О компании Розничная сеть МТС – самый быстрый способ познакомиться с нашими продуктами и сервисами. Мы развиваем интернет-магазин с доставкой по России и почти 4000 офлайн магазинов, где можно подключить услуги МТС и найти все: от сим-карт до технологичных гаджетов. А еще это легкий старт карьеры в большой экосистеме. Розничная сеть МТС приглашает кандидатов на вакансию "Комплектовщик-упаковщик". НОЧНЫЕ СМЕНЫ. Мы ищем сотрудника на небольшой склад в ПНК Валищево для подготовки товаров к их отправке в наши магазины. Обязанности Комплектация заказов на конвейерной ленте с использованием терминала сбора данных ТСД; Минимальные перемещения по складу, работа с легкими товарами; Пополнение ячеек на стеллажах согласно системе хранения через ТСД; Упаковка товара в коробки в соответствии со стандартами упаковки; Проверка комплектности заказов при упаковке; Поддержание чистоты и порядка на рабочем месте; Участие в плановых инвентаризациях товаров на складе. Требования Работа с ТСД и штрихкодами; Внимательность, аккуратность; Исполнительность, трудовая дисциплина; Обучаемость. Условия Оформление по ТК РФ; Зарплата 2 раза в месяц БЕЗ ЗАДЕРЖЕК: 10-го и 25-го числа; График 2/2, с 20.00 до 08.00(ДОПЛАТА ЗА РАБОТУ В НОЧЫЕ СМЕНЫ 20%); Понятную оплату труда (ЧТС 213 руб. /час + сдельная премия от 60000); Денежная компенсация питания +оборудованные комнаты приема пищи; Корпоративный транспорт до места работы (г. Подольск, г. Домодедово, г. Домодедово мкр. Барыбино, г. Москва м. Царицыно); ДМС со стоматологией за счет компании после 3 месяцев работы; Стабильную работу на современном складе класса А в крупной федеральной компании; Нормированные операции; Выгодный тариф для себя и для близких (тариф «Смарт для своих»); Льготное кредитование и страхование от компаний-партнеров (потребительские кредиты, ипотека и другие банковские/страховые продукты и услуги); Материальную помощь сотрудникам, попавшим в трудную жизненную ситуацию; Корпоративные скидки от компаний- партнеров по программе Best Benefits.

Location: Москва Workplace: В офисе Обязанности тестировать новое оборудование на соответствие стандартам 3GPP, O-RAN; участвовать в проектах интеграции тестовых стендов; проводить анализ стандартов 3GPP, O-RAN для формирования требований и методик тестирования Требования знание основ радиосвязи или радиотехник; разбираться в технологиях и стандартах мобильной связи; знание методов, алгоритмов передачи и приема, и обработки радиосигналов, а также цифровой обработки сигналов; обладать знаниями антенн для систем мобильной связи и распространение радиосигналов; английский на уровне Intermediate и выше; опыт работы с SDR, open-source SW, Linux; хобби радиолюбительство; опыт научной научной деятельности (учебные или рабочие исследовательские проекты, аспирантура) Условия развитие в командах профессионалов и опытный наставник, готовый делиться опытом; корпоративная сотовая связь; работать в гибридном формате (полный день; 40 часов в неделю); оплачиваемая стажировка; единая подписка МТС Premium; скидки от Best Benefits; непрерывное развитие — доступ к курсам и вебинарам корпоративного университета, а также к библиотеке с полезными книгами и периодикой.

Location: Москва Workplace: Гибридный Обязанности разработывать технические решения и реализовывать клиентские проекты (Интернет, L2-L3 VPN, транспорт волс/бшпд/ррл - база; при наличии успехов pLTE, IOT, комлексные проекты); оптимизировать бизнес-процессы; анализировать скорость проработки решений; оптимизировать маршруты и инициациировать доработки IT систем Требования навыки работы с Excel; владение базовым английским; навыки работы с Python; навыки работы с VISIO Условия развитие в командах профессионалов и опытный наставник, готовый делиться опытом; корпоративная сотовая связь; работать в гибридном формате (полный день; 40 часов в неделю); оплачиваемая стажировка; единая подписка МТС Premium; скидки от Best Benefits; непрерывное развитие — доступ к курсам и вебинарам корпоративного университета, а также к библиотеке с полезными книгами и периодикой.

Location: Москва Workplace: Гибридный О компании Стажировка в МТС — это твой шанс получить реальный опыт в сильной компании. Ты прокачаешь свои навыки в настоящих проектах и будешь учиться у профессионалов, а по итогам стажировки мы сможем предложить тебе оффер. Сейчас мы приглашаем любознательных молодых специалистов в команду, которая отвечает за архитектуру, развитие и эксплуатацию сетевого оборудования внутреннего облака компании МТС, чтобы расширить свои знания и умения. Обязанности изучать архитектуру платформы и процессы тестирования в команде; выполнять ручное тестирование нового функционала; работать с логами сервисов для локализации дефектов; взаимодействовать с командой для воспроизведения и документирования ошибок. Требования понимаешь основы тестирования ПО: виды, уровни, тест-дизайн; знаешь Python или Java; работал в Linux и с Git; внимателен к деталям и умеешь структурно описывать проблему; умеешь работать с логами и системами мониторинга (Kibana, Grafana, Prometheus) на уровне поиска и анализа ошибок; умеешь тестировать REST API с помощью Postman, Curl или аналогов. БУДЕТ ПЛЮСОМ применение ML-агентов в работе опыт с CI/CD понимание Kubernetes, OpenStack, контейнеров Условия развитие в командах профессионалов и опытный наставник, готовый делиться опытом; корпоративная сотовая связь; работать в гибридном формате (полный день; 40 часов в неделю); оплачиваемая стажировка; единая подписка МТС Premium; скидки от Best Benefits; непрерывное развитие — доступ к курсам и вебинарам корпоративного университета, а также к библиотеке с полезными книгами и периодикой.

Location: Москва Workplace: Гибридный О компании Стажировка в МТС — это твой шанс получить реальный опыт в сильной компании. Ты прокачаешь свои навыки в настоящих проектах и будешь учиться у профессионалов, а по итогам стажировки мы сможем предложить тебе оффер. Сейчас мы приглашаем любознательных молодых специалистов в команду, которая отвечает за архитектуру, развитие и эксплуатацию сетевого оборудования внутреннего облака компании МТС, чтобы расширить свои знания и умения. Обязанности участвовать в проектах интеграции тестовых стендов; анализировать стандарты 3GPP и O-RAN, чтобы формировать требования и методики тестирования; тестировать новое оборудование на соответствие стандартам. Требования в том числе учишься или закончил технический вуз (предпочтительно факультет радиосвязи или разработки радиоустройств); знаешь основы радиосвязи и радиотехники; владеешь английским на уровне Intermediate и выше. Условия развитие в командах профессионалов и опытный наставник, готовый делиться опытом; корпоративная сотовая связь; работать в гибридном формате (полный день; 40 часов в неделю); оплачиваемая стажировка; единая подписка МТС Premium; скидки от Best Benefits; непрерывное развитие — доступ к курсам и вебинарам корпоративного университета, а также к библиотеке с полезными книгами и периодикой.

Location: Москва Workplace: Гибридный О компании Стажировка в МТС — это твой шанс получить реальный опыт в сильной компании. Ты прокачаешь свои навыки в настоящих проектах и будешь учиться у профессионалов, а по итогам стажировки мы сможем предложить тебе оффер. Сейчас мы приглашаем любознательных молодых специалистов в команду, которая отвечает за архитектуру, развитие и эксплуатацию сетевого оборудования внутреннего облака компании МТС, чтобы расширить свои знания и умения. Обязанности участвовать в администрировании сетевого оборудования, делать заявки из портала SD; настраивать сетевое оборудование, согласно схемам коммутации; вести учет сетевого оборудования, иногда упаковывать его и передавать курьерам для отправки на сайты; настраивать системы мониторинга; участвовать в разборе инцидентов и post-mortem-анализе. Требования знание сетей, сетевых протоколов; навыки работы с сетевым оборудованием: настройка, траблшутинг и т.д.; умение читать техническую документацию на английском языке (Upper Intermediate — B2). Будет плюсом: стажировки или опыт работы в телекоме, провайдерах, области администрирования сетевого оборудования; базовые знания Python или любого сценарного языка для автоматизации. Условия развитие в командах профессионалов и опытный наставник, готовый делиться опытом; корпоративная сотовая связь; работать в гибридном формате (полный день; 40 часов в неделю); оплачиваемая стажировка; единая подписка МТС Premium; скидки от Best Benefits; непрерывное развитие — доступ к курсам и вебинарам корпоративного университета, а также к библиотеке с полезными книгами и периодикой.

Location: Москва Workplace: В офисе О компании Стажировка в МТС — это твой шанс получить реальный опыт в сильной компании. Ты прокачаешь свои навыки в настоящих проектах и будешь учиться у профессионалов, а по итогам стажировки мы сможем предложить тебе оффер. Сейчас мы приглашаем любознательных молодых специалистов в команду пакетного ядра, которым интересно получить практический опыт и расширить свой кругозор. Наша команда решает широкий круг технических задач, включающих в себя обеспечение доступности пакетной мобильной связи абонентам МТС, техническую реализацию бизнес-задач, проведение кросс-доменных R&D исследований в области пакетной сети, а еще in-house разработку узлов опорной сети 5G. Мы не ждем готового инженера — ждем интереса к сетям и готовности разбираться. За стажером закрепляется наставник, задачи выдаем от простых к боевым. Обязанности участвовать в подготовке технических решений и автоматизировать рутинные операции; сопровождать пилоты узлов пакетной сети; участвовать в подготовке инфраструктуры и интеграции решений; вести техническую документацию. Требования высшее техническое образование (телеком, сети связи, IT); фундаментальные знания о сетях: OSI модель, TCP/IP стек; понимание основ работы в Linux; общее представление о работе мобильных сетей LTE/5G; умение читать техническую документацию на английском языке (Intermediate). Будет плюсом: базовые знания Python или любого сценарного языка для автоматизации; участие в стажировках, олимпиадах или свои пет-проекты по сетям (домашняя лаборатория, GNS3/EVE-NG, сертификаты типа CCNA). Условия развитие в команде профессионалов и наставника, готового делиться опытом; корпоративная сотовая связь; работа из современного офиса в Москве (полный день, 40 часов в неделю); оплачиваемая стажировка; единая подписка МТС Premium; скидки от Best Benefits; непрерывное развитие — доступ к курсам и вебинарам корпоративного университета, а также к библиотеке с полезными книгами и периодикой.

Location: Москва Workplace: Гибридный О компании Проект ориентирован на разработку и поддержку мобильного приложения МТС. Обязанности Создание и поддержка UI/UX компонентов приложения с использованием Kotlin/Java, Android Jetpack (Compose, ViewModel, Navigation) и библиотек (Retrofit для API, Room для локального хранения); Увеличивать покрытие тестами; Решать задачи по безопасности. Требования Студенты 3 - 6 курсов бакалавриата, специалитета или магистратуры; Знания Kotlin (предпочтительно) или Java, Android SDK, Jetpack Components (Compose, Lifecycle, Navigation, Hilt/Dagger для DI); Опыт с Room/Firestore для баз данных; Знание инструментов: Android Studio, Git, Gradle; Знание тестирования (Espresso, JUnit) и оптимизации. Условия график работы 20-40 часов в неделю; развитие в командах профессионалов и опытный наставник, готовый делиться опытом; мобильная связь за счет компании; специальные предложения и скидки от продуктов экосистемы МТС; собственный корпоративный университет, онлайн-библиотека, Best Benefits (приложение для сотрудников, где собраны различные скидки); спорт: онлайн зарядки, йога, дыхательные практики.

Location: Москва Workplace: Гибридный О компании Трекер задач для управления разработкой и производственными процессами с ИИ-агентами и ИИ-инструментами. Обязанности Заниматься ручным и регрессионным тестированием продукта (frontend, backend, интеграции, e2e сценарии); Разрабатывать и поддерживать тестовую документацию (Тест-дизайн/чек-листы/тест-кейсы); Проводить оценку трудоёмкости и сроков работ по тестированию работать в системе баг-трекинга; Анализировать инциденты с PROD. Требования Студенты 3 - 6 курсов бакалавриата, специалитета или магистратуры; Навыки работы с REST API; Опыт тестирования через Postman, Swagger/OpenAPI умеешь работать с TMS (например Allure TestOps); SQL запросы; Опыт тестирования асинхронных контрактов (Kafka); Читать логи и использовать инструменты мониторинга (Grafana, OpenSearch); Автотесты (API - Python + pytest, UI - Playwright) Навыки работы с Git и понимание code review. Условия График работы 40 часов в неделю; Развитие в командах профессионалов и опытный наставник, готовый делиться опытом; Мобильная связь за счет компании; Специальные предложения и скидки от продуктов экосистемы МТС; Собственный корпоративный университет, онлайн-библиотека, Best Benefits (приложение для сотрудников, где собраны различные скидки); Спорт: онлайн зарядки, йога, дыхательные практики.

Location: Москва Workplace: Гибридный Обязанности Участвовать в поддержке и разработке фронта на React. Требования знания HTML5 и CSS3; знание TypeScript; опыт работы с React; понимание git. Условия студенты 1 и 2 курсов бакалавриата или специалитета, и студенты колледжей, обучающиеся на любом курсе по ИТ-специальности; график работы 20-40 часов в неделю; развитие в командах профессионалов и опытный наставник, готовый делиться опытом; мобильная связь за счет компании; специальные предложения и скидки от продуктов экосистемы МТС; собственный корпоративный университет, онлайн-библиотека, Best Benefits (приложение для сотрудников, где собраны различные скидки); спорт: онлайн зарядки, йога, дыхательные практики.

Location: Москва Workplace: В офисе О компании Стажировка в МТС — это твой шанс получить реальный опыт в сильной компании. Ты прокачаешь свои навыки в настоящих проектах и будешь учиться у профессионалов, а по итогам стажировки мы сможем предложить тебе оффер. Сейчас мы приглашаем активных и организованных молодых специалистов в команду технического блока, которым интересно получить практический опыт в технологических проектах. Наша команда занимается технической экспертизой, тестированием и интеграцией новых решений, а также инженерным сопровождением проектов связанных с пакетным ядром мобильных сетей 4G/5G. Мы не ждем готового инженера — ждем системного мышления, внимательности к деталям и готовности разбираться. За стажером закрепляется наставник, задачи выдаем от простых к боевым. Обязанности разбираться в архитектуре сети: из каких узлов, интерфейсов и систем она состоит и как они взаимодействуют; участвовать во внедрении и тестировании новых сетевых и ИТ-решений вместе с инженерами и вендорами; изучать документацию производителей и стандарты (3GPP, RFC), вести техническую документацию и базу знаний; помогать проектной команде: изучать процесс строительства и ввода объектов, систематизировать материалы и готовить статусы; собирать и анализировать технические данные, автоматизировать рутинные операции; участвовать в технических встречах, готовить технические требования и программы испытаний. Требования высшее или неоконченное высшее техническое образование (телеком, ИТ, радиотехника, информационные системы); базовые знания сетевых протоколов (TCP/IP) и общее понимание архитектуры мобильных сетей; уверенная работа с Excel и PowerPoint; умение самостоятельно разобраться в незнакомой технической теме, выделить главное и сделать выводы; английский на уровне чтения технической документации; организованность, аккуратность и умение ясно излагать мысли письменно; базовые знания SQL или Python для анализа данных и автоматизации; опыт работы в Linux, с сетевым оборудованием или лабораторными стендами; опыт написания технической документации, работа в Confluence/Jira; знание Visio или Draw io для схем сети; представление о пакетном ядре 4G/5G (EPC/5GC) и протоколах GTP, Diameter, SIP; опыт анализа сетевого трафика (Wireshark, tcpdump); базовое понимание виртуализации и контейнеров (Docker, Kubernetes). Условия развитие в команде профессионалов и наставника, готового делиться опытом; гибкий график работы от 20 до 40 часов в неделю с возможностью совмещения с учебой в вузе; корпоративная сотовая связь; работа из современного офиса в Москве; оплачиваемая стажировка; единая подписка МТС Premium; скидки от Best Benefits; непрерывное развитие — доступ к курсам и вебинарам корпоративного университета, а также к библиотеке с полезными книгами и периодикой.

Location: Москва Workplace: В офисе О компании МТС Финтех – одно из ключевых направлений экосистемы МТС. Мы используем современные цифровые решения и развиваем технологичные банковские сервисы, доступные каждому. Сейчас мы в поиске Специалиста по информационной безопасности в отдел по работе с дочерними и зависимыми организациями (ДЗО) Обязанности Обеспечивать организацию и контроль выполнения процессов ИБ для дочерних и зависимых организаций (ДЗО); Оказывать консультационную и методологическую поддержку локальным CISO; Обеспечивать маршрутизацию запросов по вопросам ИБ для ДЗО и выстраивать коммуникации со смежными подразделениями; Принимать участие в расследовании инцидентов ИБ; Оказывать поддержку в проведении аудитов и консультационных проектов по ИБ; Участвовать во внедрении средств защиты информации. Требования ​​Имеете хорошее знание различных классов и систем защиты (МСЭ, NTA, SIEM, DLP, IDM, DCAP, PAM и т.д.); Обладаете знанием ключевых процессов ИБ и опыт их выстраивания (управление инцидентами, доступами, уязвимостями, мониторинг событий, предотвращение утечек данных и т.д.); Знаете виды угроз ИБ, методики их оценки и способов минимизации; Знакомы с принципами построения корпоративных сетей, сетевых протоколов, умение "читать" схемы сетевых топологий; Знаете регуляторные требования по ИБ (ГОСТ 57580, 152-ФЗ, 187-ФЗ, PCI DSS и т.д.); Имеете опыт управления задачами и проектами; Знаете правила деловой этики и бизнес-коммуникаций Условия У нас ваши идеи не потеряются: предлагайте и обсуждайте, ищите новые решения и экспериментируйте. Мы всегда поддержим вас, а ещё предложим: достойную заработную плату; ДМС со стоматологией с первого месяца работы; доступ к корпоративной библиотеке; регулярные образовательные курсы и тренинги от корпоративного университета; внешнее обучение; цифровое пространство (безбумажный прием на работу, коворкинг, электронный документооборот); специальный тариф на мобильную связь; скидки и бонусы на продукты и услуги от МТС, МТС Банка и партнёров; программу Best Benefits; отсутствие дресс-кода; современный и уютный офис в 2-х минутах от м. Технопарк; кафе «Мечта» с полезными завтраками и вкусными обедами; корпоративный спорт: йога, беговой клуб, вело-сообщество и другие; тренажерный зал в офисе; детские дни и подарки; программу материальной помощи в различных жизненных ситуациях; социальные проекты (раздельный сбор мусора, фандоматы, благотворительные ярмарки и волонтерские акции).